Telecom
Predictive analytics on SageMaker
Manual forecasting replaced with governed ML models embedded into operational planning routines.
25% improvement in forecast accuracy
$4M annual reduction in operating cost
Challenge
Operational forecasting relied on manual, backward-looking processes, driving avoidable cost and service risk.
Approach
- Delivered AI/ML predictive analytics models on Amazon SageMaker.
- Integrated network and operational data sources into a governed feature pipeline.
- Embedded model outputs into operational planning routines.
What I took away
- Model accuracy only creates value once it is wired into an existing planning routine.
- Feature governance matters more than model choice for sustained accuracy.
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